The document provides an overview of performance engineering and garbage collection (GC) tuning. It discusses key GC concepts like throughput, latency and footprint tradeoffs. It describes the main GC algorithms in OpenJDK HotSpot - Parallel, CMS and G1 collectors. It highlights promotion and evacuation failures that can occur in these collectors when memory fragmentation is high. It also discusses monitoring and analyzing GC logs to understand GC behavior and tune performance.
The Performance Engineer's Guide To (OpenJDK) HotSpot Garbage Collection - Th...Monica Beckwith
Monica Beckwith is a JVM/GC Performance Engineer and has worked with the HotSpot VM for more than a decade. In this presentation, she will talk about GC Performance Engineering while providing GC facts and examples. She will also discuss various OpenJDK HotSpot GC algorithms and will provide advice on this topic.
Managed runtime performance expert, Monica Beckwith will divulge her survival guide which is essential for any application performance engineer. Following simple rules and performance engineering patterns will make you and your stakeholders happy.
At JavaOne keynote this year, Mark Reinhold talked about how Java 9 was much bigger than Jigsaw. To put that in numbers - 80+ JEPs bigger! Yes, we see more presentations on Jigsaw since it brings about modularity to the once monolithic JDK. But what about those other JEPs?! One of those "other" JEPs, is JEP 143 - 'Improve Contended Locking'. Monica will apply her performance engineering approach and talk about JEP 143 and Oracle's Studio Analyzer Performance Tool. The crux of the presentation will entail comparing performance of contended locks in JDK 9 to JDK 8.
The Performance Engineer's Guide to Java (HotSpot) Virtual MachineMonica Beckwith
Monica Beckwith has worked with the Java Virtual Machine for more than a decade not just optimizing the JVM heuristics, but also improving the Just-in-time (JIT) code quality for various processor architectures as well as working with the garbage collectors and improving garbage collection for server systems.
During this talk, Monica will cover a few JIT and Runtime optimizations and she will dive into the HotSpot garbage collection and provide an overview of the various garbage collectors available in HotSpot.
The Performance Engineer's Guide To HotSpot Just-in-Time CompilationMonica Beckwith
Adaptive compilation and runtime in the OpenJDK Hotspot VM offers significant performance enhancements for our tools and applications in Java and other JVM languages. Understanding how it works provides developers with critical information on the Java HotSpot JIT compilation and runtime techniques such as vectorization, compressed OOPs etc., to assist in understanding performance for both client and server applications. We will focus on the internals of OpenJDK 8, the reference implementation for Java SE 8.
The Performance Engineer's Guide To (OpenJDK) HotSpot Garbage Collection - Th...Monica Beckwith
Monica Beckwith is a JVM/GC Performance Engineer and has worked with the HotSpot VM for more than a decade. In this presentation, she will talk about GC Performance Engineering while providing GC facts and examples. She will also discuss various OpenJDK HotSpot GC algorithms and will provide advice on this topic.
Managed runtime performance expert, Monica Beckwith will divulge her survival guide which is essential for any application performance engineer. Following simple rules and performance engineering patterns will make you and your stakeholders happy.
At JavaOne keynote this year, Mark Reinhold talked about how Java 9 was much bigger than Jigsaw. To put that in numbers - 80+ JEPs bigger! Yes, we see more presentations on Jigsaw since it brings about modularity to the once monolithic JDK. But what about those other JEPs?! One of those "other" JEPs, is JEP 143 - 'Improve Contended Locking'. Monica will apply her performance engineering approach and talk about JEP 143 and Oracle's Studio Analyzer Performance Tool. The crux of the presentation will entail comparing performance of contended locks in JDK 9 to JDK 8.
The Performance Engineer's Guide to Java (HotSpot) Virtual MachineMonica Beckwith
Monica Beckwith has worked with the Java Virtual Machine for more than a decade not just optimizing the JVM heuristics, but also improving the Just-in-time (JIT) code quality for various processor architectures as well as working with the garbage collectors and improving garbage collection for server systems.
During this talk, Monica will cover a few JIT and Runtime optimizations and she will dive into the HotSpot garbage collection and provide an overview of the various garbage collectors available in HotSpot.
The Performance Engineer's Guide To HotSpot Just-in-Time CompilationMonica Beckwith
Adaptive compilation and runtime in the OpenJDK Hotspot VM offers significant performance enhancements for our tools and applications in Java and other JVM languages. Understanding how it works provides developers with critical information on the Java HotSpot JIT compilation and runtime techniques such as vectorization, compressed OOPs etc., to assist in understanding performance for both client and server applications. We will focus on the internals of OpenJDK 8, the reference implementation for Java SE 8.
Garbage First Garbage Collector (G1 GC): Current and Future Adaptability and ...Monica Beckwith
G1 GC Presentation @ JavaOne 2013
Sneak a peek under the hood of the latest and coolest garbage collector, Garbage-First!
Dive deep into G1's adaptability and ergonomics
Discuss the future of G1's adaptability
In Java 9, Garbage First Garbage Collector (G1 GC) will be the default GC. This presentation makes an effort to help Hotspot VM users to understand the concept of G1 GC as well as provides some tuning advice.
It is our experience that 60-70% of all the applications we analyze incur a performance penalty due to how it consumes and/or retains memory. Yet if you ask people what is their biggest performance headache it’s unlikely that they’d recognize memory as being #1. I have been involved in analyzing numerous applications for just these kinds of issues and in this session, I will cover the tell tale signs and symptoms that your application is one of those suffering from some sort of memory issue. I'll discuss what steps you can take to cure this problem and will also cover how the JVM can both help reduce the memory ~strength of your application. What should you do?"
All the fundamental concepts and tools for understanding performance tuning in Java. Garbage collection, memory management and collector types and tools for profiling Java applications.
Now that you have your apps running on K8s, wondering how to get the response time that you need ? Tuning applications to get the performance that you need can be challenging. When you have to tune a number of microservices in Kubernetes to fix a response time or a throughput issue, it can get really overwhelming. This talk looks at some common performance issues and ways to solve them and more importantly the tools that can help you.
We will also be specifically looking at Kruize that helps to not only right size your containers but also optimize the runtimes.
( https://github.com/kruize/kruize )
Processing Terabytes of data every day … and sleeping at night (infiniteConf ...Luciano Mammino
This is the story of how we built a highly available data pipeline that processes terabytes of network data every day, making it available to security researchers for security assessment and threat hunting.
Building this kind of stuff in the cloud is not that complicated, but if you have to make it near real-time, fault tolerant and 24/7 available, well... that's another story. In this talk, Luciano and Domagoj will tell you how they achieved this ambitious goal and how they missed a few good nights of sleep while trying to do that!
Spoiler alert: contains AWS, lambda, elastic search, monitoring, alerting & more!
Strata Singapore: GearpumpReal time DAG-Processing with Akka at ScaleSean Zhong
Gearpump is a Akka based realtime streaming engine, it use Actor to model everything. It has super performance and flexibility. It has performance of 18000000 messages/second and latency of 8ms on a cluster of 4 machines.
In our data-driven world, the need for speed has never been greater. The advent of Flink has no doubt paved the way for faster and more efficient data delivery solutions; however, it is not without its costs. The amount of time, talent and resources required to effectively manipulate streams and conduct analysis at scale is far from trivial, and it can be especially daunting to the uninitiated or technically challenged. In an effort to make scalable stream processing more readily accessible to the world, Cogility Software created Cogynt: a zero-coding analytics platform for the masses. Cogynt enables engineers and non-engineers alike to manipulate and analyze streams on an abstracted level, while leveraging the power of Flink and Kafka under the hood to declaratively build complex Flink jobs. Shielding the analyst from low-level system configuration and programming API’s lends itself to creating an environment where analysts can focus on what’s most important to their businesses – the data. This session will demonstrate, from a data science perspective, how Cogynt can easily do almost anything Flink users can do with code, and more!
Reactive applications are becoming a de-facto industry standard and, if employed correctly, toolkits like Lightbend Reactive Platform make the implementation easier than ever. But design of these systems might be challenging as it requires particular mindset shift to tackle problems we might not be used to.
In this talk, we’re going to discuss the most common things I’ve seen in the field that prevented applications working as expected. I’d like to talk about typical pitfalls that might cause problems, about trade-offs that might not be fully understood and important choices that might be overlooked. These include persistent actors pitfalls, tackling of network partitions, proper implementations of graceful shutdown or distributed transactions, trade-offs of micro-services or actors and more.
This talk should be interesting for anyone who is thinking about, implementing, or has already deployed a reactive application. My goal is to provide a comprehensive explanation of common problems to be sure they won’t be repeated by fellow developers. The talk is a little bit more focused on the Lightbend platform but understanding of the concepts we are going to talk about should be beneficial for everyone interested in this field.
This is part one of my Monitoring Distributed Apps series.
Here we explore premises of Distributed Application monitoring focusing on metrics, why do we need them and gradually introducing Prometheus as a solution.
The video recording is available here: https://youtu.be/lvogDmRN-Hs
Everything You Always Wanted to Know About Kafka's Rebalance Protocol but Wer...confluent
Watch this talk here: https://www.confluent.io/online-talks/everything-you-always-wanted-to-know-about-kafkas-rebalance-protocol-but-were-afraid-to-ask-on-demand
Apache Kafka® is a scalable streaming platform with built-in dynamic client scaling. The elastic scale-in/scale-out feature leverages Kafka’s “rebalance protocol” that was designed in the 0.9 release and improved ever since then. The original design aims for on-prem deployments of stateless clients. However, it does not always align with modern deployment tools like Kubernetes and stateful stream processing clients, like Kafka Streams. Those shortcomings lead to two major recent improvement proposals, namely static group membership and incremental rebalancing.
This talk provides a deep dive into the details of the rebalance protocol, starting from its original design in version 0.9 up to the latest improvements and future work.
We discuss internal technical details, pros and cons of the existing approaches, and explain how you configure your client correctly for your use case. Additionally, we discuss configuration tradeoffs for stateless, stateful, on-prem, and containerized deployments.
Cassandra Summit 2014: Cyanite — Better Graphite Storage with Apache CassandraDataStax Academy
Presenter: Pierre-Yves Ritschard, CTO at Exoscale
Graphite is the go-to tool of sysadmins everywhere to store and retrieve timeseries data. Cyanite is an alternative graphite compatible daemon which uses Cassandra as its main storage engine. The talk will focus on how to build efficient time-series data models in Cassandra, how the ecosystem of tools around Cassandra can help in processing timeseries in batches and will provide architectural insight in how to build truly scalable time series pipelines.
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Monica Beckwith
Learn what you need to know to experience nirvana in the evaluation of G1 GC even if your are migrating from Parallel GC to G1, or CMS GC to G1 GC
You also get a walk through of some case study data
G1 GC
Cassandra as event sourced journal for big data analyticsAnirvan Chakraborty
Avoiding destructive updates and keeping history of data using event sourcing approaches has large advantages for data analytics. This talk describes how Cassandra can be used as event journal as part of CQRS/Lambda Architecture using event sourcing and further used for data mining and machine learning purposes in a big data pipeline.
All the principles are demonstrated on an application called Muvr that we built. It uses data from wearable devices such as accelerometer in a watch or heartbeat monitor to classify user's exercises in near real time. It uses mobile devices and clustered Akka actor framework to distribute computation and then stores events as immutable facts in journal backed by Cassandra. The data are then read by Apache Spark and used for more expensive analytics and machine learning tasks such as suggests improvements to user's exercise routine or improves machine learning models for better real time exercise classification that can be used immediately. The talk mentions some of the internals of Spark when working with Cassandra and focuses on its machine learning capabilities enabled by Cassandra. A lot of the analytics are done for each user individually so the whole pipeline must handle potentially large amount of concurrent users and a lot of raw data so we need to ensure attributes such as responsiveness, elasticity and resilience.
Garbage First Garbage Collector (G1 GC): Current and Future Adaptability and ...Monica Beckwith
G1 GC Presentation @ JavaOne 2013
Sneak a peek under the hood of the latest and coolest garbage collector, Garbage-First!
Dive deep into G1's adaptability and ergonomics
Discuss the future of G1's adaptability
In Java 9, Garbage First Garbage Collector (G1 GC) will be the default GC. This presentation makes an effort to help Hotspot VM users to understand the concept of G1 GC as well as provides some tuning advice.
It is our experience that 60-70% of all the applications we analyze incur a performance penalty due to how it consumes and/or retains memory. Yet if you ask people what is their biggest performance headache it’s unlikely that they’d recognize memory as being #1. I have been involved in analyzing numerous applications for just these kinds of issues and in this session, I will cover the tell tale signs and symptoms that your application is one of those suffering from some sort of memory issue. I'll discuss what steps you can take to cure this problem and will also cover how the JVM can both help reduce the memory ~strength of your application. What should you do?"
All the fundamental concepts and tools for understanding performance tuning in Java. Garbage collection, memory management and collector types and tools for profiling Java applications.
Now that you have your apps running on K8s, wondering how to get the response time that you need ? Tuning applications to get the performance that you need can be challenging. When you have to tune a number of microservices in Kubernetes to fix a response time or a throughput issue, it can get really overwhelming. This talk looks at some common performance issues and ways to solve them and more importantly the tools that can help you.
We will also be specifically looking at Kruize that helps to not only right size your containers but also optimize the runtimes.
( https://github.com/kruize/kruize )
Processing Terabytes of data every day … and sleeping at night (infiniteConf ...Luciano Mammino
This is the story of how we built a highly available data pipeline that processes terabytes of network data every day, making it available to security researchers for security assessment and threat hunting.
Building this kind of stuff in the cloud is not that complicated, but if you have to make it near real-time, fault tolerant and 24/7 available, well... that's another story. In this talk, Luciano and Domagoj will tell you how they achieved this ambitious goal and how they missed a few good nights of sleep while trying to do that!
Spoiler alert: contains AWS, lambda, elastic search, monitoring, alerting & more!
Strata Singapore: GearpumpReal time DAG-Processing with Akka at ScaleSean Zhong
Gearpump is a Akka based realtime streaming engine, it use Actor to model everything. It has super performance and flexibility. It has performance of 18000000 messages/second and latency of 8ms on a cluster of 4 machines.
In our data-driven world, the need for speed has never been greater. The advent of Flink has no doubt paved the way for faster and more efficient data delivery solutions; however, it is not without its costs. The amount of time, talent and resources required to effectively manipulate streams and conduct analysis at scale is far from trivial, and it can be especially daunting to the uninitiated or technically challenged. In an effort to make scalable stream processing more readily accessible to the world, Cogility Software created Cogynt: a zero-coding analytics platform for the masses. Cogynt enables engineers and non-engineers alike to manipulate and analyze streams on an abstracted level, while leveraging the power of Flink and Kafka under the hood to declaratively build complex Flink jobs. Shielding the analyst from low-level system configuration and programming API’s lends itself to creating an environment where analysts can focus on what’s most important to their businesses – the data. This session will demonstrate, from a data science perspective, how Cogynt can easily do almost anything Flink users can do with code, and more!
Reactive applications are becoming a de-facto industry standard and, if employed correctly, toolkits like Lightbend Reactive Platform make the implementation easier than ever. But design of these systems might be challenging as it requires particular mindset shift to tackle problems we might not be used to.
In this talk, we’re going to discuss the most common things I’ve seen in the field that prevented applications working as expected. I’d like to talk about typical pitfalls that might cause problems, about trade-offs that might not be fully understood and important choices that might be overlooked. These include persistent actors pitfalls, tackling of network partitions, proper implementations of graceful shutdown or distributed transactions, trade-offs of micro-services or actors and more.
This talk should be interesting for anyone who is thinking about, implementing, or has already deployed a reactive application. My goal is to provide a comprehensive explanation of common problems to be sure they won’t be repeated by fellow developers. The talk is a little bit more focused on the Lightbend platform but understanding of the concepts we are going to talk about should be beneficial for everyone interested in this field.
This is part one of my Monitoring Distributed Apps series.
Here we explore premises of Distributed Application monitoring focusing on metrics, why do we need them and gradually introducing Prometheus as a solution.
The video recording is available here: https://youtu.be/lvogDmRN-Hs
Everything You Always Wanted to Know About Kafka's Rebalance Protocol but Wer...confluent
Watch this talk here: https://www.confluent.io/online-talks/everything-you-always-wanted-to-know-about-kafkas-rebalance-protocol-but-were-afraid-to-ask-on-demand
Apache Kafka® is a scalable streaming platform with built-in dynamic client scaling. The elastic scale-in/scale-out feature leverages Kafka’s “rebalance protocol” that was designed in the 0.9 release and improved ever since then. The original design aims for on-prem deployments of stateless clients. However, it does not always align with modern deployment tools like Kubernetes and stateful stream processing clients, like Kafka Streams. Those shortcomings lead to two major recent improvement proposals, namely static group membership and incremental rebalancing.
This talk provides a deep dive into the details of the rebalance protocol, starting from its original design in version 0.9 up to the latest improvements and future work.
We discuss internal technical details, pros and cons of the existing approaches, and explain how you configure your client correctly for your use case. Additionally, we discuss configuration tradeoffs for stateless, stateful, on-prem, and containerized deployments.
Cassandra Summit 2014: Cyanite — Better Graphite Storage with Apache CassandraDataStax Academy
Presenter: Pierre-Yves Ritschard, CTO at Exoscale
Graphite is the go-to tool of sysadmins everywhere to store and retrieve timeseries data. Cyanite is an alternative graphite compatible daemon which uses Cassandra as its main storage engine. The talk will focus on how to build efficient time-series data models in Cassandra, how the ecosystem of tools around Cassandra can help in processing timeseries in batches and will provide architectural insight in how to build truly scalable time series pipelines.
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Monica Beckwith
Learn what you need to know to experience nirvana in the evaluation of G1 GC even if your are migrating from Parallel GC to G1, or CMS GC to G1 GC
You also get a walk through of some case study data
G1 GC
Cassandra as event sourced journal for big data analyticsAnirvan Chakraborty
Avoiding destructive updates and keeping history of data using event sourcing approaches has large advantages for data analytics. This talk describes how Cassandra can be used as event journal as part of CQRS/Lambda Architecture using event sourcing and further used for data mining and machine learning purposes in a big data pipeline.
All the principles are demonstrated on an application called Muvr that we built. It uses data from wearable devices such as accelerometer in a watch or heartbeat monitor to classify user's exercises in near real time. It uses mobile devices and clustered Akka actor framework to distribute computation and then stores events as immutable facts in journal backed by Cassandra. The data are then read by Apache Spark and used for more expensive analytics and machine learning tasks such as suggests improvements to user's exercise routine or improves machine learning models for better real time exercise classification that can be used immediately. The talk mentions some of the internals of Spark when working with Cassandra and focuses on its machine learning capabilities enabled by Cassandra. A lot of the analytics are done for each user individually so the whole pipeline must handle potentially large amount of concurrent users and a lot of raw data so we need to ensure attributes such as responsiveness, elasticity and resilience.
Scaling wix with microservices architecture jax london-2015Aviran Mordo
Many small startups build their systems on top of a traditional toolset. These systems are used because they facilitate easy development and fast progress, but many of them are monolithic and have limited scalability. As a startup grows, the team is confronted with the problem of how to evolve and scale the system.
This is a talk I delivered in April 2012 at the 33rd Degree conference in Krakow - its about building small simple applications and the unix philosophy
Apache Cassandra for Timeseries- and Graph-DataGuido Schmutz
Apache Cassandra has proven to be one of the best solutions for storing and retrieving data at high velocity and high volume.
In the first part of the talk we will discuss how the storage model of Cassandra is ideal for time series use cases, which are often of high velocity and high volume. Time series data is everywhere today: Internet of Things, sensor data, transactional data, social media streams. We go over examples of how to best build data models.
We will also cover pairing Apache Spark with Apache Cassandra to create a real time data analytics platform.
The second part of the talk will present Titan:db, an open source distributed graph database build on top of Cassandra that can power real-time applications with thousands of concurrent users over graphs with billions of edges. It exposes a property graph data model directly atop Cassandra which makes storing and querying relationship data fast, easy, and scalable to huge graphs. This talk demonstrates how Titan's features enable complex, multi-relational databases in Cassandra and discusses how Titan:db has been used in a customer case to store social network data.
G1 Garbage Collector: Details and TuningSimone Bordet
The G1 Garbage Collector is the low-pause replacement for CMS, available since JDK 7u4. This session will explore in details how the G1 garbage collector works (from region layout, to remembered sets, to refinement threads, etc.), what are its current weaknesses, what command line options you should enable when you use it, and advanced tuning examples extracted from real world applications.
This session brings to your attention how several millions of dollars are wasted and what you can do to save money. Optimizing garbage collection performance not only saves money, but also improves the overall customer experience as well.
How to Become a Winner in the JVM Performance-Tuning BattleCapgemini
Has your system been touched by a JVM performance problems? If the answer is yes, this presentation is for you.
You need to be careful if you have to track issues in a production system. One mistake, too much data gathered, and your system will slow down. The root cause of the problem can be application code or the JVM garbage collector.
This presentation describes a real production example of how to measure, tune, and fix a problem with a slow enterprise Java application. To make this job effective, open source tools are used to analyze the JVM’s condition: GC, threads, and code bottlenecks. Measurement in the lab is with open source tools such as Zorka, GCViewer, and JVisual VM. To make the tuning task realistic, real production problems are simulated.
First presented at Oracle OpenWorld 2015.
http://www.capgemini.com/oracle
Why and How to Run Your Own Gitlab Runners as Your Company GrowsNGINX, Inc.
In this session, Casey Zednick, Senior Software Engineer for NGINX, tells you everything you need to know about GitLab Runner, an app for running jobs in your CI/CD pipeline. Using your own runners gives you full control to meet your service level objectives (SLOs), increase security, and save money at scale. It's notoriously difficult to forecast costs for dynamic cloud services like an autoscaling fleet of runners, but Casey demos a tool from the NGINX tools team that calculates your costs based on a handful of numbers. He also shows how to clone our GitLab repos to set up a production-grade fleet in Azure and monitor its performance.
Speakers:
Casey Zednick
This session brings to your attention how several millions of dollars are wasted and what you can do to save money. Optimizing garbage collection performance not only saves money, but also improves the overall customer experience as well.
QCon London: Low latency Java in the real world - LMAX Exchange and the Zing JVMAzul Systems, Inc.
LMAX Exchange and Azul are both known for low latency and high performance Java technologies. LMAX Exchange has been using Azul's Zing JVM to power the world's best FX execution venue for a while now. In this session, Mark Price (Senior Developer, LMAX Exchange) and Gil Tene (CTO, Azul Systems) describe some of the core parts of their respective technology stacks, and discuss experiences and lessons learned from a long-term real-world deployment of the their combination.
A technical presentation on how Zing changes parts of the JVM to eliminate GC pauses, generate more heavily optimised code from the JIT and reduce the warm up time.
Are your v8 garbage collection logs speaking to you?Joyee Cheung -Alibaba Clo...NodejsFoundation
In this talk, Joyee will talk about alinode's experiences in analyzing the V8 garbage collection logs and diagnosing performance problems caused by V8 GC pauses and memory leaks.
For Java developers, the Just-In-Time (JIT) compiler is key to improved performance. However, in a container world, the performance gains are often negated due to CPU and memory consumption constraints. To help solve this issue, the Eclipse OpenJ9 JVM provides JITServer technology, which separates the JIT compiler from the application.
JITServer allows the user to employ much smaller containers enabling a higher density of applications, resulting in cost savings for end-users and/or cloud providers. Because the CPU and memory surges due to JIT compilation are eliminated, the user has a much easier task of provisioning resources for his/her application. Additional advantages include: faster ramp-up time, better control over resources devoted to compilation, increased reliability (JIT compiler bugs no longer crash the application) and amortization of compilation costs across many application instances.
We will dig into JITServer technology, showing the challenges of implementation, detailing its strengths and weaknesses and illustrating its performance characteristics. For the cloud audience we will show how it can be deployed in containers, demonstrate its advantages compared to a traditional JIT compilation technique and offer practical recommendations about when to use this technology.
What to do in case in which an application does not provide the desired performance? If you have ever had problems with optimizing the performance of Java applications, surely you had to invest a solid amount of time to find out the real cause for the problems, which included the involvement of administrators and developers. Is there a way to shorten the time required to find a solution, what free tools are available for this purpose and to check that you have finally solved the problem? In this presentation, we will try to provide answers to these questions with concrete real life examples.
At Target, we serve millions of transactions through our APIs each month. These are backed by Cassandra. During peak season, we see a 10x traffic increase, which presents some interesting scaling issues. This is our performance tuning journey for cassandra, both in our own datacenters and in the cloud.
Hadoop Meetup Jan 2019 - Dynamometer and a Case Study in NameNode GCErik Krogen
Erik Krogen of LinkedIn presents regarding Dynamometer, a system open sourced by LinkedIn for scale- and performance-testing HDFS. He discusses one major use case for Dynamometer, tuning NameNode GC, and discusses characteristics of NameNode GC such as why it is important, and how it interacts with various current and future GC algorithms.
This is taken from the Apache Hadoop Contributors Meetup on January 30, hosted by LinkedIn in Mountain View.
MongoDB World 2019: From Traditional Oil and Gas to Sustainable Energy OR Fro...MongoDB
With the transition to sustainable energy, the data tier supporting a surface-network becomes more and more important.
We will show how MongoDB plays a role in that transition, enabling us to ignore recommended patterns and use radical approaches instead for a high-performing Sustainable Energy Solution.
At Criteo we are using both .NET CLR runtime and JVM one. At first look it seems there are very similar: a bytecode, a JIT, a GC, … but in fact there is some differences in the implementation and in the vision of the targeted applications and their requirements
Let’s dig into those differences with the pros & cons
Similar to GC Tuning Confessions Of A Performance Engineer - Improved :) (20)
Since JDK 9, G1 GC is the default garbage collector (JEP 248). Up until 2017, Monica has shared some G1 GC details, performance tips, and optimizations that help G1's adaptiveness and provided advice on manual tuning.
Since then, G1 has come a long way in improving its adaptiveness. In this session, Monica will cover most of the important optimizations that are delivered from JDK9+ and how they can help your application's responsiveness, throughput, and help with footprint reduction. This is a saga that involves various regions and generations (all pun intended).
Are your application's tail-latencies holding it back from delivering its near-real time SLOs? Do your in-memory processing platform's long pauses only get worse with increasing heap sizes? How about those latency spikes causing variability in your end-to-end latency for your multi-tiered distributed systems?
If any of the above keep you up at night, then have no fear as Z Garbage Collector (GC) is here and is production ready in JDK 15.
In this talk, Monica Beckwith will cover the basics of Z GC and contrast it with G1 GC (the current default collector for OpenJDK JDK 11 LTS and tip).
This is part 1 in a series of talks covering Padawan Monica Beckwith’s hands-on practical experience over the last two decades. Monica, who has trained with many Knights and a few Masters, will cover what it means to be sympathetic to the underlying hardware in Scaling Up and Scaling Out scenarios. In addition, she will share examples to put cloud performance into perspective.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
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✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.